The probability that a randomly selected person from this sample is female OR prefers chocolate is 40/50, which is 4/5 or 80%.
Based on the information in the table, No, the events "female" and "prefers chocolate" are not mutually exclusive.
Here's why:
Mutually exclusive events cannot happen at the same time. In this case, a person can be both female and prefer chocolate. The table shows that 15 females prefer chocolate, which means both events can occur simultaneously for the same individuals.
Therefore, the answer to the first question is No.
Now, let's find the probability that a randomly selected person from this sample is female OR prefers chocolate. This can be calculated by adding the probabilities of being female and preferring chocolate, since those events are not mutually exclusive.
Here's how to calculate the probability:
P(female OR prefers chocolate) = P(female) + P(prefers chocolate) - P(both female and prefers chocolate)
From the table, we can see:
P(female) = 22/50 (since 22 out of 50 people are female)
P(prefers chocolate) = 33/50 (since 33 out of 50 people prefer chocolate)
P(both female and prefers chocolate) = 15/50 (since 15 females prefer chocolate)
Plugging these values into the formula:
P(female OR prefers chocolate) = 22/50 + 33/50 - 15/50
P(female OR prefers chocolate) = 40/50
Complete the question:
Fifty people were surveyed about their preference between chocolate and vanilla cake. The following two-way table displays data for the sample of people who responded to the survey. In this sample, are the events "female" and 'prefers chocolate" mutually exclusive? Choose 1 answer: A Yes No Find the probability that a randomly selected person from this sample is female OR prefers chocolate. P (female OR prefers chocolate)